{"id":"W1909149443","doi":"10.24908/pceea.v0i0.4020","title":"DEVELOPMENT OF A MULTI-DISCIPLINARY GRADUATE PROGRAM: MASTER OF ENGINEERING IN ENVIRONMENTAL STUDIES AT THE UNIVERSITY OF NEW BRUNSWICK","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Division of Graduate Education","keywords":"Discipline; Engineering management; Salient; Engineering ethics; Engineering; Graduate students; Engineering education; Medical education; Political science; Sociology; Medicine; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003543576,0.0006568087,0.0004431775,0.002066574,0.004302108,0.003494368,0.002093661,0.00110428,0.0278601],"category_scores_gemma":[0.002505243,0.0004135818,0.0003431683,0.0008057768,0.0009505018,0.0009337247,0.004309617,0.002513363,0.009421641],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01036437,"about_ca_system_score_gemma":0.09968206,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.137447,"about_ca_topic_score_gemma":0.4740717,"domain_scores_codex":[0.9980925,0.0002064976,0.00006858545,0.0002322607,0.0008029965,0.0005972447],"domain_scores_gemma":[0.9894338,0.0001126615,0.0001715625,0.0001444128,0.002982005,0.007155447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001441514,0.002348728,0.03922204,0.0004941486,0.00001591259,0.001013454,0.008365092,0.0009772055,0.02267169,0.0140321,0.4437915,0.466924],"study_design_scores_gemma":[0.00005147147,0.0004365214,0.09873454,0.0005775121,0.00001060795,0.0003790774,0.01029715,0.0009742019,0.008084227,0.001558513,0.8788438,0.00005232473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2749441,0.006122908,0.02310575,0.2107775,0.008871326,0.005544737,0.003040152,0.001627454,0.465966],"genre_scores_gemma":[0.2570299,0.005018564,0.04952094,0.01554413,0.0006521404,0.001688814,0.002008284,0.0003451365,0.6681922],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9896356,"threshold_uncertainty_score":0.2732939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05571533905037952,"score_gpt":0.2420906543680835,"score_spread":0.186375315317704,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}